def setup_method(self):
from tvb.simulator._opencl.util import create_cpu_context, context_and_queue
from tvb.simulator._opencl.cl_models import CL_Linear
self.context, self.queue = context_and_queue(create_cpu_context())
self.n_nodes = 100
self.state = numpy.random.rand(1, self.n_nodes, 1).astype(numpy.float32)
self.coupling = numpy.random.rand(1, self.n_nodes, 1).astype(numpy.float32)
self.model = CL_Linear()
class TestIntegrator(unittest.TestCase):
def setUp(self):
from tvb.simulator._opencl.util import create_cpu_context, context_and_queue
from tvb.simulator._opencl.cl_models import CL_Linear
self.context, self.queue = context_and_queue(create_cpu_context())
self.n_nodes = 100
self.state = numpy.random.rand(1, self.n_nodes, 1)
self.coupling = numpy.random.rand(1, self.n_nodes, 1)
self.model = CL_Linear()
def test_CLIntegrator(self):
from tvb.simulator._opencl.cl_integrator import CLIntegrator
cl = CLIntegrator()
cl.configure_opencl(self.context, self.queue)
self.model.configure_opencl(self.context, self.queue)
cl.scheme(self.state, self.model.dfunKernel, self.coupling)
cl.scheme_cl(self.state, self.model, self.coupling)
def test_CL_EulerDeterministic(self):
from tvb.simulator._opencl.cl_integrator import CL_EulerDeterministic
cl = CL_EulerDeterministic()
cl.configure_opencl(self.context, self.queue)
self.model.configure_opencl(self.context, self.queue)
cl.scheme(self.state, self.model.dfunKernel, self.coupling)
cl.scheme_cl(self.state, self.model, self.coupling)
def test_CL_Identity(self):
from tvb.simulator._opencl.cl_integrator import CL_Identity
cl = CL_Identity()
cl.configure_opencl(self.context, self.queue)
self.model.configure_opencl(self.context, self.queue)
cl.scheme(self.state, self.model.dfunKernel, self.coupling)
cl.scheme_cl(self.state, self.model, self.coupling)
def test_CL_HeunDeterministic(self):
from tvb.simulator._opencl.cl_integrator import CL_HeunDeterministic
cl = CL_HeunDeterministic()
cl.configure_opencl(self.context, self.queue)
self.model.configure_opencl(self.context, self.queue)
cl.scheme(self.state, self.model.dfunKernel, self.coupling)
cl.scheme_cl(self.state, self.model, self.coupling)
def test_Linear(self):
from tvb.simulator.models.linear import Linear
from tvb.simulator._opencl.cl_models import CL_Linear
self.validate(Linear(), CL_Linear(), CL_Linear.n_states)
class TestIntegrator():
def setup_method(self):
from tvb.simulator._opencl.util import create_cpu_context, context_and_queue
from tvb.simulator._opencl.cl_models import CL_Linear
self.context, self.queue = context_and_queue(create_cpu_context())
self.n_nodes = 100
self.state = numpy.random.rand(1, self.n_nodes, 1).astype(numpy.float32)
self.coupling = numpy.random.rand(1, self.n_nodes, 1).astype(numpy.float32)
self.model = CL_Linear()
def test_CLIntegrator(self):
from tvb.simulator._opencl.cl_integrator import CLIntegrator
cl = CLIntegrator()
cl.configure_opencl(self.context, self.queue)
self.model.configure_opencl( self.context, self.queue )
cl.scheme(self.state, self.model.dfunKernel,self.coupling )
#cl.scheme_cl(self.state, self.model, self.coupling)
def test_CL_Identity(self):
from tvb.simulator._opencl.cl_integrator import CL_Identity
cl = CL_Identity()
cl.configure_opencl(self.context, self.queue)
self.model.configure_opencl(self.context, self.queue)
cl.scheme(self.state, self.model.dfunKernel, self.coupling)
#cl.scheme_cl(self.state, self.model, self.coupling)
def test_CL_EulerDeterministic(self):
from tvb.simulator._opencl.cl_integrator import CL_EulerDeterministic
cl = CL_EulerDeterministic()
cl.configure_opencl(self.context, self.queue)
self.model.configure_opencl(self.context, self.queue)
cl.scheme(self.state, self.model.dfunKernel, self.coupling)
#cl.scheme_cl(self.state, self.model, self.coupling)
def test_CL_HeunDeterministic(self):
from tvb.simulator._opencl.cl_integrator import CL_HeunDeterministic
cl = CL_HeunDeterministic()
cl.configure_opencl(self.context, self.queue)
self.model.configure_opencl(self.context, self.queue)
cl.scheme(self.state, self.model.dfunKernel, self.coupling)
#cl.scheme_cl(self.state, self.model, self.coupling)
def test_CL_RungeKutta4thOrderDeterministic(self):
from tvb.simulator._opencl.cl_integrator import CL_RungeKutta4thOrderDeterministic
cl = CL_RungeKutta4thOrderDeterministic()
cl.configure_opencl(self.context, self.queue)
self.model.configure_opencl(self.context, self.queue)
cl.scheme(self.state, self.model.dfunKernel, self.coupling)
def test_CL_EulerStochastic(self):
from tvb.simulator._opencl.cl_integrator import CL_EulerStochastic
cl = CL_EulerStochastic()
cl.configure_opencl(self.context, self.queue)
self.model.configure_opencl(self.context, self.queue)
cl.noise.dt = cl.dt
cl.scheme(self.state, self.model.dfunKernel, self.coupling)
#cl.scheme_cl(self.state, self.model, self.coupling)
def test_CL_HeunStochastic(self):
from tvb.simulator._opencl.cl_integrator import CL_HeunStochastic
cl = CL_HeunStochastic()
cl.configure_opencl(self.context, self.queue)
self.model.configure_opencl(self.context, self.queue)
cl.noise.dt = cl.dt
cl.scheme(self.state, self.model.dfunKernel, self.coupling)
